[Remote] AI Product Manager (AML, KYC, Fraud, Client Lifecycle)
Note: The job is a remote job and is open to candidates in USA. Univedge Consulting LLC is seeking an AI Product Manager with deep Banking and Financial Services domain expertise to drive AI-powered transformation across various processes including Fraud, AML, KYC, and Client Lifecycle Management. The role involves working closely with stakeholders to identify opportunities, design AI solutions, and improve operational efficiency and regulatory compliance.
Responsibilities
- Identify & Prioritize High-Impact AI Use Cases Work with Banking, Risk, Compliance, Operations, and Technology stakeholders to identify opportunities across: Fraud Detection & Prevention AML Monitoring & Investigations KYC & Customer Due Diligence Customer Onboarding & Account Opening Regulatory Compliance & Reporting Client Lifecycle Management Translate business challenges into clear AI-driven problem statements and product opportunities
- Drive AI-Led Process Transformation Analyze existing workflows and identify opportunities for AI augmentation. Redesign manual and rule-based processes using AI, automation, and intelligent decisioning. Develop business cases and success metrics for AI initiatives. Lead workshops with business stakeholders to define future-state operating models
- Drive Rapid Experimentation & Innovation Convert ideas into testable hypotheses and pilot programs. Design MVPs and Proof of Concepts leveraging: Generative AI Machine Learning Intelligent Automation Predictive Analytics Execute rapid experimentation cycles: Prototype → Pilot → Measure → Refine → Scale
- Own AI Product Lifecycle Lead product development from concept through deployment. Define product vision, roadmap, user stories, and success metrics. Partner with Engineering, Data Science, and Architecture teams to deliver scalable solutions. Ensure products align with regulatory, security, and governance requirements
- Bridge Business & Technology Teams Act as the primary interface between: Banking Business Teams Risk & Compliance Functions Operations Teams AI/ML & Data Science Teams Engineering Teams Translate business objectives into actionable product requirements and AI use cases
- Measure Business Impact & Scale Track and improve: Fraud loss reduction AML investigation efficiency KYC onboarding cycle times Operational productivity Customer experience metrics Regulatory compliance outcomes Scale successful pilots into enterprise-wide solutions
Skills
- 8–15+ years of Banking or Financial Services experience
- 5+ years in Product Management, Product Ownership, Consulting, or Business Transformation roles
- Strong expertise in one or more areas: Fraud Management, AML, KYC, Customer Onboarding, Regulatory Compliance, Client Lifecycle Management
- Experience participating in or leading AI, Analytics, Automation, or Digital Transformation initiatives
- Proven ability to work across business and technology stakeholders
- Strong communication, presentation, and executive stakeholder management skills
- Strong problem solver and business transformer
- AI-first mindset
- Ability to challenge existing processes and redesign them
- Consulting-style communication and stakeholder engagement skills
- Comfortable operating in ambiguity and rapidly evolving AI environments
- Outcome-focused and data-driven
Company Overview